Screening of extraction methods for Cd and As bioavailability prediction in rhizospheric soil using multivariate analyses

Kim, Sung‐Chul; Yang, Jae E.; Kim, Dong-Kuk; Cheong, Young‐Wook; Skousen, Jeff; Jung, Yeong-Sang

doi:10.1007/s12665-011-1242-2

Cited by 11 publications

(3 citation statements)

References 22 publications

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“…In recent years, heavy-metal pollution caused by the considerable growth of the mining industry and the effects of human activity has called for extensive concern worldwide. Many researchers have performed related researches on mineral composition in coal gangue (Zhou et al, 2012;Fernandes, 1997), chemical speciation of heavy metals in coal gangue (Dang et al, 2002), pollution characteristics of heavy metal in soil (Dragović et al, 2008;Luan et al, 2008), and potential ecological risk assessment of soil heavy-metals contamination around coal gangue piles (Abdu et al, 2011;Krishna and Govil, 2008;Zhao et al, 2012). However, the pollution trend of heavy metal in soil around coal gangue dumps has received less formal attention than it should have.…”

Section: Jiang Et Al: Assessment and Prediction Of Soil Heavy-metmentioning

confidence: 99%

Potential ecological risk assessment and prediction of soil heavy-metal pollution around coal gangue dump

Jiang

Zhao

et al. 2014

Nat. Hazards Earth Syst. Sci.

230

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Abstract. The aim of the present study is to evaluate the potential ecological risk and trend of soil heavy-metal pollution around a coal gangue dump in Jilin Province (Northeast China). The concentrations of Cd, Pb, Cu, Cr and Zn were monitored by inductively coupled plasma mass spectrometry (ICP-MS). The potential ecological risk index method developed by Hakanson (1980) was employed to assess the potential risk of heavy-metal pollution. The potential ecological risk in the order of ER(Cd) > ER(Pb) > ER(Cu) > ER(Cr) > ER(Zn) have been obtained, which showed that Cd was the most important factor leading to risk. Based on the Cd pollution history, the cumulative acceleration and cumulative rate of Cd were estimated, then the fixed number of years exceeding the standard prediction model was established, which was used to predict the pollution trend of Cd under the accelerated accumulation mode and the uniform mode. Pearson correlation analysis and correspondence analysis are employed to identify the sources of heavy metals and the relationship between sampling points and variables. These findings provided some useful insights for making appropriate management strategies to prevent or decrease heavy-metal pollution around a coal gangue dump in the Yangcaogou coal mine and other similar areas elsewhere.

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Section: Jiang Et Al: Assessment and Prediction Of Soil Heavy-metmentioning

confidence: 99%

Potential ecological risk assessment and prediction of soil heavy-metal pollution around coal gangue dump

Jiang

Zhao

et al. 2014

Nat. Hazards Earth Syst. Sci.

230

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“…The soil samples were airdried naturally and passed through a 0.075 mm sieve, prepared to be analyzed. The content of heavy metal elements As, Pb, Cu, Zn, Mn, and Cd were determined by using inductively coupled plasma mass spectrometry (ICP-MS, Aglient 7500a, USA), and the pH value was determined by using SJ-4A pH meter (Kim et al 2012). The recovery rates for heavy metals were between 96.3% and 105%.…”

Section: Sampling Detection and Analysis Methodsmentioning

confidence: 99%

Impact of coal power generation on the characteristics and risk of heavy metal pollution in nearby soil

Zhang

Wang

et al. 2020

Ecosyst Health Sustain

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Introduction: The development of coal power base (CPB) poses a severe challenge to the soil. We conducted a soil survey in Xilinhot CPB, to evaluate and analyze the pollution characteristics, potential ecological risk, and sources of six heavy metals (As, Pb, Cu, Zn, Mn, and Cd) in soil by using Geo-accumulation index, revised Nemerow integrated pollution index (RNIPI), and potential ecological risk index (RI). Outcomes/other: The results showed that the pollution of Cd and As were dramatic. The mean of Cd and As were 1.11 mg•kg -1 and 25.13 mg•kg -1 , which were 42.55 times and 4.41 times higher than its local background value. The Geo-accumulation indices showed the contamination degree of Cd was strong and As was moderate, and the status of Cu, Pb, Zn, and Mn were uncontaminated. Xilinhot was strongly contaminated based on its RNIPI and RI values. Discussion: The accumulations of As, Pb, and Cd were mainly associated with anthropogenic sources, including coal mining and combustion, and industrial exhaust emissions. Cu, Mn, and Zn were primarily originated from the parent material (natural sources). Conclusion:This study provides scientific basis and effective countermeasures for the prevention and control of soil pollution in surrounding areas of CPB.

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“…5,9 However, extraction agents are inconsistent across the previous literature, and 0.5 M H 2 SO 4 , 0.1 M NaOH, 0.5 M NaHCO 3 , sodium acetate and mixed acids, oxidisable organic matter and 1.0 M HCl all have high efficiencies for dening the available fraction of As. [10][11][12][13][14] An extraction procedure provides a response to a given extraction agent rather than a true reection of the labile As pool. The articial changes induced during sampling, extraction and analysis may affect As bioavailability, complicating the development of soil test methodologies.…”

Section: Introductionmentioning

confidence: 99%

Assessment of arsenic availability in soils using the diffusive gradients in thin films (DGT) technique—a comparison study of DGT and classic extraction methods

Wang

Bai

Zeng

et al. 2014

Environ. Sci.: Processes Impacts

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This study was conducted to evaluate the feasibility and accuracy of available arsenic (As) measurement in soils using the diffusive gradients in thin films (DGT) technique and to shed further light on the risk evaluation of As-contaminated soils. A bio-indicator method was used to evaluate the dependence of As concentrations in plant tissues (edible rape) on the As concentrations measured by other methods. DGT, extraction of soil pore water, 0.5 M NaHCO3, 1 M HCl, 1 M NH4Cl, 0.5 M NH4F, 0.1 M NaOH and 0.25 M H2SO4 extraction methods, as well as total As content in the soil were employed in this study. Edible rape was grown in 43 soils containing different concentrations of As. A better correlation was obtained between the As concentrations in plant tissues and the As concentrations measured by DGT than between plant concentrations and those measured by other methods. The coefficients of determination (R(2)) before and after growth of edible rape were 0.84 and 0.83, respectively. Levels of As in plants and in soil pore water were also closely related: the coefficients of determination (R(2)) between these variables before and after growth of edible rape were 0.83 and 0.81, respectively. Measurements from the chemical extraction methods were inferior to those from DGT and soil pore water. Levels of As in plants were more scattered and nonlinear with respect to total soil As content (R(2) = 0.27). The As measured by DGT closely reflected the pool of plant-adsorbed As. From the data obtained in this study, we can conclude that DGT is an effective technique for the prediction and assessment of As bioavailability in soils.

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Screening of extraction methods for Cd and As bioavailability prediction in rhizospheric soil using multivariate analyses

Cited by 11 publications

References 22 publications

Potential ecological risk assessment and prediction of soil heavy-metal pollution around coal gangue dump

Potential ecological risk assessment and prediction of soil heavy-metal pollution around coal gangue dump

Impact of coal power generation on the characteristics and risk of heavy metal pollution in nearby soil

Assessment of arsenic availability in soils using the diffusive gradients in thin films (DGT) technique—a comparison study of DGT and classic extraction methods

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